chengwang88

chengwang88's Stars

• terryum/awesome-deep-learning-papers

  The most cited deep learning papers

  Language:TeX25.4k2k264.5k

• karpathy/minGPT

  A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

  Language:Python19.9k254722.5k

• nndl/nndl.github.io

  《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning

  Language:HTML17.4k7536283.6k

• selfteaching/the-craft-of-selfteaching

  One has no future if one couldn't teach themself.

  Language:Jupyter Notebook15.2k72917616.4k

• learnbyexample/Command-line-text-processing

  :zap: From finding text to search and replace, from sorting to beautifying text and more :art:

  Language:Shell10.2k27916715

• Hvass-Labs/TensorFlow-Tutorials

  TensorFlow Tutorials with YouTube Videos

  Language:Jupyter Notebook9.3k5441104.2k

• tensorflow/nmt

  TensorFlow Neural Machine Translation Tutorial

  Language:Python6.4k2514262k

• deepchem/deepchem

  Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

  Language:Python5.4k1441.7k1.7k

• exacity/simplified-deeplearning

  Simplified implementations of deep learning related works

  Language:Jupyter Notebook2.5k23411804

• jindongwang/transferlearning-tutorial

  《迁移学习简明手册》LaTex源码

  Language:TeX2.5k10423493

• hussius/deeplearning-biology

  A list of deep learning implementations in biology

  2k2303481

• ModelOriented/DrWhy

  DrWhy is the collection of tools for eXplainable AI (XAI). It's based on shared principles and simple grammar for exploration, explanation and visualisation of predictive models.

  Language:R67935985

• wabyking/TextClassificationBenchmark

  A Benchmark of Text Classification in PyTorch

  Language:Python5763023138

• AnubhavGupta3377/Text-Classification-Models-Pytorch

  Implementation of State-of-the-art Text Classification Models in Pytorch

  Language:Python485149136

• junxia97/awesome-pretrain-on-molecules

  [IJCAI 2023 survey track]A curated list of resources for chemical pre-trained models

  48519151

• mcs07/ChemDataExtractor

  Automatically extract chemical information from scientific documents

  Language:Python3051828113

• cbaziotis/neat-vision

  Neat (Neural Attention) Vision, is a visualization tool for the attention mechanisms of deep-learning models for Natural Language Processing (NLP) tasks. (framework-agnostic)

  Language:Vue2507524

• OHDSI/PatientLevelPrediction

  An R package for performing patient level prediction in an observational database in the OMOP Common Data Model.

  Language:HTML1875930088

• illidanlab/T-LSTM

  Time-Aware LSTM

  Language:Python183111267

• mims-harvard/GraphXAI

  GraphXAI: Resource to support the development and evaluation of GNN explainers

  Language:Python16252329

• uhauha2929/examples

  Language:Jupyter Notebook1327462

• aliyun/algorithm-base

  让算法工程化更简单

  Language:Python868723

• zhaocq-nlp/Attention-Visualization

  Visualization for simple attention and Google's multi-head attention.

  Language:Java683115

• llSourcell/How_to_make_a_tensorflow_image_classifier_LIVE

  Language:Jupyter Notebook639171

• liufly/delayed-memory-update-entnet

  Recurrent Entity Networks with Delayed Memory Update for Targeted Aspect-based Sentiment Analysis, published at NAACL 2018

  Language:Python577326

• abacusai/xai-bench

  XAI-Bench is a library for benchmarking feature attribution explainability techniques

  Language:Python558212

• dbmi-pitt/public-PDDI-analysis

  migrates from swat-4-med-safety/SW-DDI-catalog/drug-drug-interactions

  Language:HTML3513633

• mjDelta/attention-mechanism-keras

  attention mechanism in keras, like Dense and RNN...

  Language:Python20301

• cog-data/ML_Interpretability_tutorial

  A tutorial about Machine Learning Interpretability

  Language:Jupyter Notebook162

• 0celot/mlworkshop39_042017

  MeetAI - machine learning workshop

  Language:Jupyter Notebook711